AI-Rad Companion Prostate MR

Siemens Healthineers

AI-Rad Companion Prostate MR (VA40) supports prostate MRI reading and reporting. By deploying artificial intelligence, the products assists in the interpretation of multiparametric Prostate MRI. The deep neural networks of Prostate MR are designed to aid the detection and classification of prostate lesions and generate a pre-populated report. Additionally it aims to aid the MR/US fusion for biopsy workflow by automatically segmenting the prostate and performing volumetry of the prostate gland. The results can be exported as a RTSS object which is then used in TRUS-guided biopsy by the urologist.
* In the United States, the VA30 is the commercially available version. This version does not include automated lesion detection and pre-populated PI-RADS report.
Product specifications Information source: Vendor
Last updated: July 19, 2023
General
Product name AI-Rad Companion Prostate MR
Company Siemens Healthineers
Subspeciality Abdomen
Modality MR
Disease targeted Prostate cancer
Key-features Prostate gland segmentation and volumetric assessment, lesion candidate localization and classification, pre-populated PI-RADS report
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps)
Data characteristics
Population Men with suspected cancer in treatment-naïve prostate glands
Input 2D TSE axial or 3D TSE / SPACE MR image data and DWI image
Input format DICOM
Output Prostate gland and lesion contours, structured report with volumetrics, PSA density and classification, RTSS
Output format DICOM, DICOM RT-STRUCT
Technology
Integration Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone webbased
Deployment Hybrid solution
Trigger for analysis Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time 1 - 10 minutes
Certification
CE
Certified, Class IIb , MDR
FDA
 510(k) cleared, Class II
Market presence
On market since 05-2020
Distribution channels Teamplay Digital Health Platform
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model Subscription
Based on Number of analyses
Evidence
Peer reviewed papers on performance

  • Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI (read)

  • A concurrent, deep learning – based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists (read)

  • A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate: Results of a Multireader, Multicase Study. (read)
Non-peer reviewed papers on performance
Other relevant papers